Cyril Naves Samue, Glock Severine, Bercovitz David, F. Verdier, Guitton-Ouhamou Patricia
{"title":"Automotive Data Certification Problem: A View on Effective Blockchain Architectural Solutions","authors":"Cyril Naves Samue, Glock Severine, Bercovitz David, F. Verdier, Guitton-Ouhamou Patricia","doi":"10.1109/IEMCON51383.2020.9284886","DOIUrl":null,"url":null,"abstract":"The automotive industry is evolving with connected, autonomous, and electric vehicles handling huge amounts of data exchanges between participants in its ecosystem. These data transactions should be certified and valid for the ecosystem to function in an efficient and trusted manner. To address the data integrity and provenance issues, we adopt blockchain technology. In this paper, we propose a consortium blockchain architecture to solve the popular use-case of odometer fraud in the automotive industry. We design the architecture from two approaches: a non-wallet and wallet-based vehicle data certification followed by its Qualitative and Quantitative evaluation.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"22 1","pages":"0167-0173"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMCON51383.2020.9284886","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The automotive industry is evolving with connected, autonomous, and electric vehicles handling huge amounts of data exchanges between participants in its ecosystem. These data transactions should be certified and valid for the ecosystem to function in an efficient and trusted manner. To address the data integrity and provenance issues, we adopt blockchain technology. In this paper, we propose a consortium blockchain architecture to solve the popular use-case of odometer fraud in the automotive industry. We design the architecture from two approaches: a non-wallet and wallet-based vehicle data certification followed by its Qualitative and Quantitative evaluation.